I’ll admit it—video localization was a task I always seemed to push to the back of my to-do list. Not because it wasn’t important, but whenever I tried to tackle it, my workflow felt fragmented. I had to juggle separate transcription tools, pick a translation service, hire a voice actor, figure out a lip-sync tool, and create different visual assets for each market. And then I’d have to make sure the final product didn’t end up looking like a badly dubbed ’90s movie.
I run a content channel aimed at English speakers, and the analytics have shown me some interesting trends. For months, it’s been clear that we attract a good number of viewers from Spain, Brazil, Germany, and India. These viewers would tune in, maybe stick around for a few seconds or up to a minute, then leave. The content was relevant, but the language and cultural differences were holding them back.
This is a summary of how I finally managed to take care of that issue in just one afternoon with the help of a single subscription.
Issues with My Previous Workflow
Before I stumbled upon a workable solution, I was going through the fragmented method that many creators resort to without realizing it. I would export the video, upload it to a transcription service, wait for the transcription, paste that into a translation tool, download the translated text, hire a freelance voice actor, and attempt to manually sync everything. Often, I’d find out that the lip movements were all off, I’d need to dig out the lip-sync tool, and end up starting over because the thumbnails and supporting visuals were still in English.
Putting together a single video in one language took about 4 to 5 hours of work—excluding the freelancer’s waiting time. Multiply that by four languages, and you’re looking at a full week just for localization. This was true even for already existing content. Plus, we often faced a bigger issue: localization isn’t just about translation; it’s about cultural adaptation too.
And surprisingly, none of the tools I was using took that into account.
What Caught My Attention and Made Me Try Something New
A few weeks back, I came across a thread discussing Artlist and its AI toolkit designed for creators. I had previously used Artlist for copyright-free music, so I already had an account I hadn’t touched in a while. I was pleasantly surprised to learn that the platform had expanded into a full creative suite featuring video generation, image creation, AI avatars, music, and voiceover. By utilizing these tools together, I could finally manage localization from start to finish—not just at the audio level, which is what most tools focus on.
What really shifted my perspective was recognizing that localization is not just one single task. There are actually five key components:
- Localizing the audio.
- Adjusting the visuals.
- Tailoring the music and tone.
- Having a presenter or avatar that feels familiar to your market.
- Ensuring the content aligns with the cultural background of your target audience.
Artlist’s toolkit covers all five aspects without requiring me to leave the platform. Initially, it was a bit overwhelming to adapt to the new layout, but with some persistence, I delved into their documentation and tested it out.
To put it to the test, we localized three videos: a 7-minute tutorial, a 12-minute detailed explanation, and a 3-minute social cut aimed at audiences in Spain, India, and Germany.
My Real Experience
The most impactful tool for localization turned out to be AI dubbing. The process began with uploading the video to Artlist’s AI toolkit, and in just a few minutes, an automated transcription of the English audio was ready for review. I only needed to correct a couple of words in the entire 12-minute video.
The speech generation kept the tonal qualities of my original recordings intact across all languages, and the lip-syncing made it look like the speakers were genuinely speaking the new language rather than simply having a voice-over. At normal speeds, the final product appeared as if it had been filmed, not just translated.
This dubbing workflow is ideal for existing footage. However, when it comes to new content specifically created for different markets, Artlist’s AI Avatar Tool opened up new possibilities. We could create character-driven videos using images and audio, eliminating the need for cameras, studios, and reshoots. Once the avatar was set up, producing it in various languages simply meant changing the audio inputs, rather than starting from scratch each time.
Furthermore, Artlist’s AI image generator allowed us to customize visual assets for each market. We could adapt clothing, backgrounds, character looks, and even signage to better match the local context. For the 3-minute social cut, we created market-specific thumbnail variations along with the localized video. This made the content immediately relatable for viewers in those markets instead of being just subtitled versions.
In pursuing deeper localization, AI-generated videos allowed us to avoid the need for separate filming across different countries. We used text prompts and visual references to create market-specific scenes tailored to each audience’s environment.
Using Artlist’s AI music generator, we created alternate music tracks in Spanish and Indian (Hindi) styles that resonated more with the cultural context than the original songs. The German version maintained the original score, which performed better in testing. This entire process took less than 30 minutes for all three languages, yet it made a noticeable impact on the local feel of the final video.
Honest Limitations
- Idiomatic translations still need human oversight
AI translation is great for drafting, but not for the final product. Idioms and cultural-specific humor need a human touch before they go live in markets where precision matters. It’s wise to budget for native speakers to review your language-dependent content.
- Lip-sync accuracy can drop with fast speech
In parts where I spoke quickly, the lip-syncing was noticeably less accurate compared to slower segments. It’s not a dealbreaker, but if you plan on localizing, pacing your script accordingly is a good idea.
- The quality of source audio affects output quality
How well a dubbing tool performs hinges on the quality of the audio it receives. Older recordings that have background noise or reverb will benefit from some cleanup before uploading.
What Changed After Publication
The Spanish and German versions were up and running within three days of completing the localization session. Two weeks later, the Spanish version had exceeded the original English video in watch time percentage. The Indian (Hindi) version had a similar watch time compared to the English original, reaching an entirely new audience.
Would I Recommend This Approach?
Absolutely! (Though I hope the warnings I mentioned are on your radar.) What sets Artlist apart from other localization tools is its breadth. It’s not just about dubbing; it offers a comprehensive localization toolkit for audio, avatars, visuals, video, and music—all within one affordable subscription.
For creators hesitant to expand internationally due to complex and costly workflows, the barriers are significantly lower now than they were a year ago. An afternoon spent localizing three videos for three different markets means valuable content in those areas every day.
